This is a basic implementation of vis_miss in plotly, some work is still needed to fix the legend, but it is several (read, about 3000x) faster than doing ggplotly(vis_miss(data)).

vis_miss_ly(x)

Arguments

x

a dataframe

Value

plotly interactive plot, similar in appearance to vis_miss

See also

vis_miss() vis_dat() vis_guess() vis_compare()

Examples

vis_miss_ly(airquality) plotly::ggplotly(vis_dat(airquality))
#> We recommend that you use the dev version of ggplot2 with `ggplotly()` #> Install it with: `devtools::install_github('hadley/ggplot2')`